AI Physiotherapy Clinic Receives Approval for Autonomous Operations
AI Physiotherapy Clinic Approved for Autonomous Operations 🤖🏥. Flok Health's platform can now diagnose and treat without human input.
BadgerNet Maternity System Set to Launch at Barts Health in 2026
Barts Health will implement the BadgerNet maternity system in 2026, enhancing care for diverse families. 🌍👶
ADAM-1: An AI Reasoning and Bioinformatics Model for Alzheimer’s Disease Detection and Microbiome-Clinical Data Integration.
AI model ADAM-1 enhances Alzheimer's detection using multimodal data integration, achieving improved F1 scores and reduced variance. 📊🧠
Somerset Cancer Register Introduces Cloud-Based Platform
Somerset Cancer Register launches a cloud-based platform to enhance cancer data management and improve patient care. ☁️💻
A time-efficient continuous ramp protocol for data-driven walking energy expenditure estimation across multiple speeds.
Efficient walking energy expenditure estimation via continuous ramp protocol shows 10.7% error, outperforming traditional methods. 🚶♂️📊
Cultural opportunities involving spiritual, existential, religious, or theological (SERT) themes: Three practical approaches.
Enhancing spiritual competencies in therapy: 3 practical approaches for clinicians. 📚✨
AI Identifies Subtle Signs of Depression in Student Facial Expressions
AI detects subtle facial signs of depression in students, aiding early intervention and mental health monitoring. 🤖😟
Advances in IoT networks using privacy-preserving techniques with optimized multi-head self-attention model for intelligent threat detection based on plant rhizome growth optimization.
Innovative IoT security: 99.11% accuracy in threat detection using optimized multi-head self-attention model! 🔒📊
West Yorkshire Launches Pilot for Digital Twin Technology in Kidney Disease Management
West Yorkshire pilots digital twin technology for chronic kidney disease management, aiming to enhance patient care and reduce NHS pressures. 🏥💻
Evaluating the performance of an artificial intelligence-based electronic reader for malaria rapid diagnostic tests across Benin, Côte d’Ivoire, Nigeria and Uganda.
AI in Malaria RDTs: 96.8% Accuracy Across 110,843 Tests in Africa! 🤖🌍